id ndltd-OhioLink-oai-etd.ohiolink.edu-osu1468965739
record_format oai_dc
spelling ndltd-OhioLink-oai-etd.ohiolink.edu-osu14689657392021-08-03T06:37:35Z Maternal and Child Health Home Visiting Evaluations Using Large, Pre-Existing Data Sets Brind'Amour, Katherine Public Health Public Administration Public Health Education Womens Studies Educational Evaluation Families and Family Life Health Care Management Health Education Health Nursing home visiting prenatal intervention home health program evaluation public health maternal and infant health MIECHV Nurse Family Partnership National Survey of Childrens Health propensity score factor analysis Introduction: Although popular and prevalent nationwide, maternal and early childhood home visiting interventions are, in many cases, of uncertain effectiveness. Methods: For Studies 1 and 2, the Nurse Family Partnership (NFP) Columbus, Ohio location was evaluated via propensity score matching with non-participants for its impact on a range of health outcomes. For Study 3, the National Survey of Children’s Health (NSCH) was used to create a nationally representative profile of the home visiting population using descriptive statistics and exploratory factor analysis.Results: In Studies 1 and 2, matching revealed greater likelihood to have a C-section, low birth weight, and to be enrolled in WIC for women and infants participating in the Columbus NFP compared to non-participating matches. In Study 3, descriptive statistics and exploratory factor analysis indicated substantial differences between participants and non-participants.Conclusions: There is no conclusive evidence that the Columbus NFP program is effective at achieving its stated goals; however, the studies’ limitations were considerable. The national profile created using the NSCH supports that there are substantial differences between participants and non-participants, with home visiting participants reflecting greater health and environmental risks and lower socioeconomic status, but perhaps better parental engagement. Improved data collection and evaluation methods, as well as confirmatory factor analysis and changes in questions for the NSCH data, may help improve opportunities for home visiting evaluation in the future. 2016 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1468965739 http://rave.ohiolink.edu/etdc/view?acc_num=osu1468965739 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Public Health
Public Administration
Public Health Education
Womens Studies
Educational Evaluation
Families and Family Life
Health Care Management
Health Education
Health
Nursing
home visiting
prenatal intervention
home health
program evaluation
public health
maternal and infant health
MIECHV
Nurse Family Partnership
National Survey of Childrens Health
propensity score
factor analysis
spellingShingle Public Health
Public Administration
Public Health Education
Womens Studies
Educational Evaluation
Families and Family Life
Health Care Management
Health Education
Health
Nursing
home visiting
prenatal intervention
home health
program evaluation
public health
maternal and infant health
MIECHV
Nurse Family Partnership
National Survey of Childrens Health
propensity score
factor analysis
Brind'Amour, Katherine
Maternal and Child Health Home Visiting Evaluations Using Large, Pre-Existing Data Sets
author Brind'Amour, Katherine
author_facet Brind'Amour, Katherine
author_sort Brind'Amour, Katherine
title Maternal and Child Health Home Visiting Evaluations Using Large, Pre-Existing Data Sets
title_short Maternal and Child Health Home Visiting Evaluations Using Large, Pre-Existing Data Sets
title_full Maternal and Child Health Home Visiting Evaluations Using Large, Pre-Existing Data Sets
title_fullStr Maternal and Child Health Home Visiting Evaluations Using Large, Pre-Existing Data Sets
title_full_unstemmed Maternal and Child Health Home Visiting Evaluations Using Large, Pre-Existing Data Sets
title_sort maternal and child health home visiting evaluations using large, pre-existing data sets
publisher The Ohio State University / OhioLINK
publishDate 2016
url http://rave.ohiolink.edu/etdc/view?acc_num=osu1468965739
work_keys_str_mv AT brindamourkatherine maternalandchildhealthhomevisitingevaluationsusinglargepreexistingdatasets
_version_ 1719440477844930560